基于蚁群算法车辆导航系统路由选择问题的研究

车高峰; 陆月然; 谭军

电脑与电信 ›› 2015, Vol. 1 ›› Issue (11) : 46-47.

基金项目

车高峰，陆月然^*，谭军

作者信息 +

Solving Routing Problem of Vehicle Navigation System by Ant Colony Optimization Algorithm

Che Gaofeng，Lu Yueran，Tan Jun

Author information +

文章历史 +

摘要

利用蚁群运动的遍历性、随机性和规律性特点，分析了车辆导航系统路由选择问题的蚁群优化算法，仿真结果表明该方法是一种简单有效的算法。

Abstract

Using the properties of ergodicity, randomicity and regularity of ant colony algorithm, ant colony optimization (ACO) algorithm is analyzed to solve routing problem of vehicle navigation system. Simulation results show that chaos ant colony optimization is a simple and effective algorithm.

导出引用

车高峰, 陆月然, 谭军. 基于蚁群算法车辆导航系统路由选择问题的研究[J]. 电脑与电信. 2015, 1(11): 46-47

Che Gaofeng, Lu Yueran, Tan Jun. Solving Routing Problem of Vehicle Navigation System by Ant Colony Optimization Algorithm[J]. Computer & Telecommunication. 2015, 1(11): 46-47

中图分类号： TP301